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import { Elysia, t } from "elysia";
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import prisma from "../lib/prisma";
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export const tiktokRoute = new Elysia({ prefix: "/tiktok" })
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.post(
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"/import/income",
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async ({ body, set }) => {
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try {
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const { data } = body as { data: any[] };
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// ── Debug logging ────────────────────────────────────────────────────
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console.log(`[TikTok/Income] Received ${data.length} rows`);
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if (data.length > 0) {
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console.log(`[TikTok/Income] First row keys:`, Object.keys(data[0]));
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console.log(`[TikTok/Income] First row id:`, data[0].id);
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console.log(`[TikTok/Income] First row sample:`, JSON.stringify(data[0]).slice(0, 300));
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}
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// Check for duplicate/missing IDs
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const ids = data.map((r) => r.id);
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const uniqueIds = new Set(ids);
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console.log(`[TikTok/Income] Total IDs: ${ids.length}, Unique IDs: ${uniqueIds.size}`);
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if (uniqueIds.size < ids.length) {
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console.warn(`[TikTok/Income] ⚠️ Duplicate IDs detected!`);
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}
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// ── Chunked upsert (avoid transaction timeout on large files) ────────
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const CHUNK_SIZE = 50;
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let inserted = 0;
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for (let i = 0; i < data.length; i += CHUNK_SIZE) {
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const chunk = data.slice(i, i + CHUNK_SIZE);
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await prisma.$transaction(
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chunk.map((row) =>
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prisma.tiktokIncome.upsert({
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where: { id: row.id },
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update: {
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type: row.type,
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orderCreatedTime: row.orderCreatedTime,
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orderSettledTime: row.orderSettledTime,
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currency: row.currency,
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totalSettlementAmount: row.totalSettlementAmount,
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totalRevenue: row.totalRevenue,
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totalFees: row.totalFees,
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rawData: row.rawData,
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},
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create: {
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id: row.id,
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type: row.type,
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orderCreatedTime: row.orderCreatedTime,
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orderSettledTime: row.orderSettledTime,
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currency: row.currency,
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totalSettlementAmount: row.totalSettlementAmount,
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totalRevenue: row.totalRevenue,
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totalFees: row.totalFees,
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rawData: row.rawData,
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},
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})
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),
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{ timeout: 30000 }
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);
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inserted += chunk.length;
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console.log(`[TikTok/Income] Progress: ${inserted}/${data.length}`);
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}
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console.log(`[TikTok/Income] ✅ Done — ${inserted} records upserted`);
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return { success: true, message: `Imported ${inserted} income records.` };
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} catch (error: any) {
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console.error(`[TikTok/Income] ❌ Error:`, error.message);
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set.status = 500;
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return { success: false, message: error.message };
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}
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},
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{
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body: t.Object({
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data: t.Array(t.Any()),
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}),
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}
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)
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.post(
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"/import/product",
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async ({ body, set }) => {
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try {
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const { data } = body as { data: any[] };
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await prisma.$transaction(
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data.map((row) =>
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prisma.tiktokProduct.upsert({
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where: { id: row.id },
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update: {
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productName: row.productName,
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status: row.status,
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gmv: row.gmv,
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itemsSold: row.itemsSold,
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orders: row.orders,
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rawData: row.rawData,
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},
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create: {
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id: row.id,
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productName: row.productName,
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status: row.status,
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gmv: row.gmv,
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itemsSold: row.itemsSold,
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orders: row.orders,
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rawData: row.rawData,
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},
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})
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)
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);
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return { success: true, message: `Imported ${data.length} product records.` };
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} catch (error: any) {
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set.status = 500;
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return { success: false, message: error.message };
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}
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},
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{
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body: t.Object({
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data: t.Array(t.Any()),
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}),
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}
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)
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.post(
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"/import/product-sku",
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async ({ body, set }) => {
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try {
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const { data } = body as { data: any[] };
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await prisma.$transaction(
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data.map((row) =>
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prisma.tiktokProductSku.upsert({
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where: { id: row.id },
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update: {
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productId: row.productId,
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skuName: row.skuName,
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status: row.status,
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gmv: row.gmv,
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skuOrders: row.skuOrders,
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itemsSold: row.itemsSold,
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rawData: row.rawData,
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},
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create: {
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id: row.id,
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productId: row.productId,
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skuName: row.skuName,
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status: row.status,
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gmv: row.gmv,
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skuOrders: row.skuOrders,
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itemsSold: row.itemsSold,
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rawData: row.rawData,
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},
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})
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)
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);
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return { success: true, message: `Imported ${data.length} SKU records.` };
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} catch (error: any) {
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set.status = 500;
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return { success: false, message: error.message };
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}
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},
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{
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body: t.Object({
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data: t.Array(t.Any()),
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}),
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}
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)
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// ── GET endpoints ────────────────────────────────────────────────────────────
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.get("/income", async ({ query }) => {
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const page = Number(query.page ?? 1);
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const limit = Number(query.limit ?? 50);
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const skip = (page - 1) * limit;
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const [items, total] = await Promise.all([
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prisma.tiktokIncome.findMany({
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orderBy: { orderCreatedTime: "desc" },
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skip,
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take: limit,
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}),
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prisma.tiktokIncome.count(),
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]);
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return { items, total, page, limit, totalPages: Math.ceil(total / limit) };
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})
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.get("/product", async ({ query }) => {
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const page = Number(query.page ?? 1);
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const limit = Number(query.limit ?? 50);
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const skip = (page - 1) * limit;
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const [items, total] = await Promise.all([
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prisma.tiktokProduct.findMany({
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orderBy: { gmv: "desc" },
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skip,
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take: limit,
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}),
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prisma.tiktokProduct.count(),
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]);
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return { items, total, page, limit, totalPages: Math.ceil(total / limit) };
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})
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.get("/product-sku", async ({ query }) => {
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const page = Number(query.page ?? 1);
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const limit = Number(query.limit ?? 50);
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const skip = (page - 1) * limit;
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const [items, total] = await Promise.all([
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prisma.tiktokProductSku.findMany({
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orderBy: { gmv: "desc" },
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skip,
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take: limit,
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}),
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prisma.tiktokProductSku.count(),
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]);
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return { items, total, page, limit, totalPages: Math.ceil(total / limit) };
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})
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.get("/summary", async () => {
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const [incomeCount, productCount, skuCount, incomeAgg, productAgg] = await Promise.all([
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prisma.tiktokIncome.count(),
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prisma.tiktokProduct.count(),
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prisma.tiktokProductSku.count(),
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prisma.tiktokIncome.aggregate({ _sum: { totalRevenue: true, totalSettlementAmount: true } }),
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prisma.tiktokProduct.aggregate({ _sum: { gmv: true, itemsSold: true, orders: true } }),
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]);
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return {
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incomeCount,
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productCount,
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skuCount,
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totalRevenue: incomeAgg._sum.totalRevenue ?? 0,
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totalSettlement: incomeAgg._sum.totalSettlementAmount ?? 0,
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totalGmv: productAgg._sum.gmv ?? 0,
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totalItemsSold: productAgg._sum.itemsSold ?? 0,
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totalOrders: productAgg._sum.orders ?? 0,
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};
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})
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.get("/analysis/sku", async () => {
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// 1. Top 10 by GMV
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const topGmv = await prisma.$queryRaw`
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WITH SkuStats AS (
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SELECT "id", "productId", "skuName", "gmv", "skuOrders", "itemsSold",
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CASE WHEN "itemsSold" > 0 THEN "gmv" / "itemsSold" ELSE 0 END AS "avgPrice",
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CASE WHEN "skuOrders" > 0 THEN "gmv" / "skuOrders" ELSE 0 END AS "aov"
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FROM "TiktokProductSku"
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)
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SELECT * FROM SkuStats ORDER BY "gmv" DESC LIMIT 10
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`;
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// 2. Top 10 by Volume (itemsSold)
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const topVolume = await prisma.$queryRaw`
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WITH SkuStats AS (
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SELECT "id", "productId", "skuName", "gmv", "skuOrders", "itemsSold",
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CASE WHEN "itemsSold" > 0 THEN "gmv" / "itemsSold" ELSE 0 END AS "avgPrice",
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CASE WHEN "skuOrders" > 0 THEN "gmv" / "skuOrders" ELSE 0 END AS "aov"
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FROM "TiktokProductSku"
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)
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SELECT * FROM SkuStats ORDER BY "itemsSold" DESC LIMIT 10
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`;
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// 3. Scent/Variant Grouping
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const scentAnalysis = await prisma.$queryRaw`
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WITH SplitNames AS (
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SELECT
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"id",
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"gmv",
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"itemsSold",
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"skuOrders",
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TRIM(SPLIT_PART("skuName", ':', 2)) AS "scentName"
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FROM "TiktokProductSku"
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WHERE "skuName" LIKE '%:%'
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)
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SELECT
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"scentName",
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SUM("gmv") AS "totalGmv",
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SUM("itemsSold") AS "totalItems",
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SUM("skuOrders") AS "totalOrders",
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COUNT("id") AS "skuCount"
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FROM SplitNames
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GROUP BY "scentName"
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ORDER BY "totalGmv" DESC
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LIMIT 15
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`;
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// 4. Overall Summary (Average AOV, Total GMV)
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const summaryList = await prisma.$queryRaw<any[]>`
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SELECT
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SUM("gmv") AS "totalGmv",
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SUM("itemsSold") AS "totalItems",
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SUM("skuOrders") AS "totalOrders",
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CASE WHEN SUM("skuOrders") > 0 THEN SUM("gmv") / SUM("skuOrders") ELSE 0 END AS "avgAov",
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CASE WHEN SUM("itemsSold") > 0 THEN SUM("gmv") / SUM("itemsSold") ELSE 0 END AS "avgPrice"
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FROM "TiktokProductSku"
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`;
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// Handle BigInt conversion since Prisma $queryRaw returns BigInts for COUNT/SUM in Postgres sometimes.
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const serialize = (data: any) =>
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JSON.parse(JSON.stringify(data, (key, value) => (typeof value === "bigint" ? Number(value) : value)));
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return serialize({
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summary: summaryList[0] || null,
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topGmv,
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topVolume,
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scentAnalysis
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});
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});
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